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Perception-based Data Mining and Decision Making in Economics and Finance, Ildar Batyrshin; Leonid Sheremetov; Lofti A. Zadeh


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Автор: Ildar Batyrshin; Leonid Sheremetov; Lofti A. Zadeh
Название:  Perception-based Data Mining and Decision Making in Economics and Finance
ISBN: 9783642071638
Издательство: Springer
Классификация: ISBN-10: 3642071635
Обложка/Формат: Paperback
Страницы: 367
Вес: 0.54 кг.
Дата издания: 30.11.2010
Серия: Studies in Computational Intelligence
Язык: English
Размер: 234 x 156 x 20
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Data Mining.- Towards Human-Consistent Data-Driven Decision Support Systems via Fuzzy Linguistic Data Summaries.- Moving Approximation Transform and Local Trend Associations in Time Series Data Bases.- Perception Based Patterns in Time Series Data Mining.- Perception-Based Functions in Qualitative Forecasting.- Towards Automated Share Investment System.- Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data.- Invariant Hierarchical Clustering Schemes.- Decision Making.- Fuzzy Components of Cooperative Markets.- Possibilistic-Probabilistic Models and Methods of Portfolio Optimization.- Toward Graded and Nongraded Variants of Stochastic Dominance.- Option Pricing in the Presence of Uncertainty.- Nonstochastic Model-Based Finance Engineering.- Collective Intelligence in Multiagent Systems: Interbank Payment Systems Application.- Fuzzy Models in Credit Risk Analysis.

Computational Methods in Decision-Making, Economics and Finance

Автор: Erricos John Kontoghiorghes; B. Rustem; S. Siokos
Название: Computational Methods in Decision-Making, Economics and Finance
ISBN: 1441952306 ISBN-13(EAN): 9781441952301
Издательство: Springer
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Цена: 278580.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computing has become essential for the modeling, analysis, and optimization of systems. This book is devoted to algorithms, computational analysis, and decision models. The chapters are organized in two parts: optimization models of decisions and models of pricing and equilibria.

Data Mining with Decision Trees

Автор: Lior Rokach
Название: Data Mining with Decision Trees
ISBN: 981459007X ISBN-13(EAN): 9789814590075
Издательство: World Scientific Publishing
Цена: 110880.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning continues to evolve over time. Existing methods are constantly being improved and new methods introduced.

This 2nd Edition is dedicated entirely to the field of decision trees in data mining; to cover all aspects of this important technique, as well as improved or new methods and techniques developed after the publication of our first edition. In this new edition, all chapters have been revised and new topics brought in. New topics include Cost-Sensitive Active Learning, Learning with Uncertain and Imbalanced Data, Using Decision Trees beyond Classification Tasks, Privacy Preserving Decision Tree Learning, Lessons Learned from Comparative Studies, and Learning Decision Trees for Big Data. A walk-through guide to existing open-source data mining software is also included in this edition.

This book invites readers to explore the many benefits in data mining that decision trees offer:

  • Self-explanatory and easy to follow when compacted
  • Able to handle a variety of input data: nominal, numeric and textual
  • Scales well to big data
  • Able to process datasets that may have errors or missing values
  • High predictive performance for a relatively small computational effort
  • Available in many open source data mining packages over a variety of platforms
  • Useful for various tasks, such as classification, regression, clustering and feature selection

Computational Methods in Decision-Making, Economics and Finance

Автор: Erricos John Kontoghiorghes; B. Rustem; S. Siokos
Название: Computational Methods in Decision-Making, Economics and Finance
ISBN: 1402008392 ISBN-13(EAN): 9781402008399
Издательство: Springer
Рейтинг:
Цена: 278580.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computing has become essential for the modeling, analysis, and optimization of systems. This book deals with the algorithms, computational analysis, and decision models. It includes chapters that are organized in two parts: optimization models of decisions and models of pricing and equilibria.

An Introduction to Modern Econometrics Using Stata

Автор: Baum
Название: An Introduction to Modern Econometrics Using Stata
ISBN: 1597180130 ISBN-13(EAN): 9781597180139
Издательство: Taylor&Francis
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Цена: 88800.00 T
Наличие на складе: Невозможна поставка.
Описание:

Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, An Introduction to Modern Econometrics Using Stata focuses on the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how the theories are applied to real data sets using Stata.

As an expert in Stata, the author successfully guides readers from the basic elements of Stata to the core econometric topics. He first describes the fundamental components needed to effectively use Stata. The book then covers the multiple linear regression model, linear and nonlinear Wald tests, constrained least-squares estimation, Lagrange multiplier tests, and hypothesis testing of nonnested models. Subsequent chapters center on the consequences of failures of the linear regression model's assumptions. The book also examines indicator variables, interaction effects, weak instruments, underidentification, and generalized method-of-moments estimation. The final chapters introduce panel-data analysis and discrete- and limited-dependent variables and the two appendices discuss how to import data into Stata and Stata programming.

Presenting many of the econometric theories used in modern empirical research, this introduction illustrates how to apply these concepts using Stata. The book serves both as a supplementary text for undergraduate and graduate students and as a clear guide for economists and financial analysts.


Business Intelligence - Data Mining and Optimization for Decision Making

Автор: Vercellis
Название: Business Intelligence - Data Mining and Optimization for Decision Making
ISBN: 0470511389 ISBN-13(EAN): 9780470511381
Издательство: Wiley
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Цена: 140390.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides coverage of topics currently dispersed throughout data mining and business books, bringing them together for the first time to provide readers with an introductory and practical guide to the mathematical models and analysis methodologies vital to business intelligence.

Data Mining and Statistics for Decision Making

Автор: Tuffery
Название: Data Mining and Statistics for Decision Making
ISBN: 0470688297 ISBN-13(EAN): 9780470688298
Издательство: Wiley
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Цена: 74920.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge.

Experimental Economics: Financial Markets, Auctions, and Decision Making

Автор: Fredrik Nils Andersson; Hakan Holm
Название: Experimental Economics: Financial Markets, Auctions, and Decision Making
ISBN: 1461353033 ISBN-13(EAN): 9781461353034
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Interviews and Contributions from the 20th Arne Ryde Symposium

Data-based Decision Making in Education

Автор: Kim Schildkamp; Mei Kuin Lai; Lorna Earl
Название: Data-based Decision Making in Education
ISBN: 9401785066 ISBN-13(EAN): 9789401785068
Издательство: Springer
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Цена: 125770.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This unique collation of material on data-driven decisions made in schools includes contributions from several countries to provide an informed perspective on effective policy and practice, and includes analysis of the interplay between the two.

Multicriteria and Multiagent Decision Making with Applications to Economics and Social Sciences

Автор: Aldo G. S. Ventre; Antonio Maturo; ??rka Ho?kov?-M
Название: Multicriteria and Multiagent Decision Making with Applications to Economics and Social Sciences
ISBN: 3642438245 ISBN-13(EAN): 9783642438240
Издательство: Springer
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Цена: 121890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume examines decision making in economics and the social sciences, with a focus on multicriteria and multiagent decision making. Each model captures a characteristic feature of real human behaviour, either at the individual or at the societal level.

Multicriteria and Multiagent Decision Making with Applications to Economics and Social Sciences

Автор: Aldo G. S. Ventre; Antonio Maturo; ??rka Ho?kov?-M
Название: Multicriteria and Multiagent Decision Making with Applications to Economics and Social Sciences
ISBN: 3642356346 ISBN-13(EAN): 9783642356346
Издательство: Springer
Рейтинг:
Цена: 139310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume examines decision making in economics and the social sciences, with a focus on multicriteria and multiagent decision making. Each model captures a characteristic feature of real human behaviour, either at the individual or at the societal level.


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